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Search Results (11)
  • Open Access

    ARTICLE

    Automatic Extraction of Medical Latent Variables from ECG Signals Utilizing a Mutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection

    Abbas Ali Hassan, Fardin Abdali-Mohammadi*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 971-983, 2024, DOI:10.32604/cmc.2024.053817 - 15 October 2024

    Abstract From a medical perspective, the 12 leads of the heart in an electrocardiogram (ECG) signal have functional dependencies with each other. Therefore, all these leads report different aspects of an arrhythmia. Their differences lie in the level of highlighting and displaying information about that arrhythmia. For example, although all leads show traces of atrial excitation, this function is more evident in lead II than in any other lead. In this article, a new model was proposed using ECG functional and structural dependencies between heart leads. In the prescreening stage, the ECG signals are segmented from… More >

  • Open Access

    ARTICLE

    Heart-Net: A Multi-Modal Deep Learning Approach for Diagnosing Cardiovascular Diseases

    Deema Mohammed Alsekait1, Ahmed Younes Shdefat2, Ayman Nabil3, Asif Nawaz4,*, Muhammad Rizwan Rashid Rana4, Zohair Ahmed5, Hanaa Fathi6, Diaa Salama AbdElminaam6,7,8

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3967-3990, 2024, DOI:10.32604/cmc.2024.054591 - 12 September 2024

    Abstract Heart disease remains a leading cause of morbidity and mortality worldwide, highlighting the need for improved diagnostic methods. Traditional diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults, which can reduce accuracy, especially with poor-quality images. Additionally, these methods often require significant time and expertise, making them less accessible in resource-limited settings. Emerging technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision, ultimately improving patient outcomes and reducing healthcare costs. This study introduces Heart-Net, a multi-modal deep learning framework designed to… More >

  • Open Access

    ARTICLE

    DNA Methylation Variation Is Identified in Monozygotic Twins Discordant for Congenital Heart Diseases

    Shuliang Xia1,2,3,#, Huikang Tao2,#, Shixin Su4, Xinxin Chen2, Li Ma2, Jianru Li5, Bei Gao6, Xumei Liu5, Lei Pi7, Jinqing Feng4, Fengxiang Li2, Jia Li4,*, Zhiwei Zhang1,3,*

    Congenital Heart Disease, Vol.19, No.2, pp. 247-256, 2024, DOI:10.32604/chd.2024.052583 - 16 May 2024

    Abstract Aims: Multiple genes and environmental factors are known to be involved in congenital heart disease (CHD), but epigenetic variation has received little attention. Monozygotic (MZ) twins with CHD provide a unique model for exploring this phenomenon. In order to investigate the potential role of Deoxyribonucleic Acid (DNA) methylation in CHD pathogenesis, the present study examined DNA methylation variation in MZ twins discordant for CHD, especially ventricular septal defect (VSD). Methods and Results: Using genome-wide DNA methylation profiles, we identified 4004 differentially methylated regions (DMRs) in 18 MZ twin pairs discordant for CHD, and 2826 genes were… More > Graphic Abstract

    DNA Methylation Variation Is Identified in Monozygotic Twins Discordant for Congenital Heart Diseases

  • Open Access

    ARTICLE

    Aggravation of Cancer, Heart Diseases and Diabetes Subsequent to COVID-19 Lockdown via Mathematical Modeling

    Fatma Nese Efil1, Sania Qureshi1,2,3, Nezihal Gokbulut1,4, Kamyar Hosseini1,3, Evren Hincal1,4,*, Amanullah Soomro2

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 485-512, 2024, DOI:10.32604/cmes.2024.047907 - 16 April 2024

    Abstract The global population has been and will continue to be severely impacted by the COVID-19 epidemic. The primary objective of this research is to demonstrate the future impact of COVID-19 on those who suffer from other fatal conditions such as cancer, heart disease, and diabetes. Here, using ordinary differential equations (ODEs), two mathematical models are developed to explain the association between COVID-19 and cancer and between COVID-19 and diabetes and heart disease. After that, we highlight the stability assessments that can be applied to these models. Sensitivity analysis is used to examine how changes in… More >

  • Open Access

    EDITORIAL

    Femoral Access with Ultrasound-Guided Puncture and Z-Stitch Hemostasis for Adults with Congenital Heart Diseases Undergoing Electrophysiological Procedures

    Fu Guan1,*, Matthias Gass2, Florian Berger2, Heiko Schneider1, Firat Duru1,3, Thomas Wolber1,3,*

    Congenital Heart Disease, Vol.19, No.1, pp. 85-92, 2024, DOI:10.32604/chd.2024.047266 - 20 March 2024

    Abstract Aims: Although the application of ultrasound-guided vascular puncture and Z-stitch hemostasis to manage femoral access has been widely utilized, there is limited data on this combined application in adult congenital heart disease (ACHD) patients undergoing electrophysiological (EP) procedures. We sought to evaluate the safety and efficacy of ultrasound-guided puncture and postprocedural Z-stitch hemostasis for ACHD patients undergoing EP procedures. Methods and Results: The population of ACHD patients undergoing transfemoral EP procedures at the University of Zurich Heart Center between January 2019 and December 2022 was observed and analyzed. During the study period, femoral access (left/right, arterial/venous)… More >

  • Open Access

    ARTICLE

    Assessment of Intracardiac and Extracardiac Deformities in Patients with Various Types of Pulmonary Atresia by Dual-Source Computed Tomography

    Wenlei Qian1,#, Xinzhu Zhou2,#, Ke Shi1, Li Jiang1, Xi Liu3, Liting Shen1, Zhigang Yang1,*

    Congenital Heart Disease, Vol.18, No.1, pp. 113-125, 2023, DOI:10.32604/chd.2023.023542 - 09 January 2023

    Abstract Background: Pulmonary atresia (PA) is a group of heterogeneous complex congenital heart disease. Only one study modality might not get a correct diagnosis. This study aims to investigate the diagnostic power of dual-source computed tomography (DSCT) for all intracardiac and extracardiac deformities in patients with PA compared with transthoracic echocardiography (TTE). Materials and Methods: This retrospective study enrolled 79 patients and divided them into three groups according to their main diagnosis. All associated malformations and clinical information, including treatments, were recorded and compared among the three groups. The diagnostic power of DSCT and TTE on all associated… More > Graphic Abstract

    Assessment of Intracardiac and Extracardiac Deformities in Patients with Various Types of Pulmonary Atresia by Dual-Source Computed Tomography

  • Open Access

    ARTICLE

    Artificial Intelligence in Medicine: Real Time Electronic Stethoscope for Heart Diseases Detection

    Batyrkhan Omarov1,2,*, Nurbek Saparkhojayev2, Shyrynkyz Shekerbekova3, Oxana Akhmetova1, Meruert Sakypbekova1, Guldina Kamalova3, Zhanna Alimzhanova1, Lyailya Tukenova3, Zhadyra Akanova4

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2815-2833, 2022, DOI:10.32604/cmc.2022.019246 - 27 September 2021

    Abstract Diseases of the cardiovascular system are one of the major causes of death worldwide. These diseases could be quickly detected by changes in the sound created by the action of the heart. This dynamic auscultations need extensive professional knowledge and emphasis on listening skills. There is also an unmet requirement for a compact cardiac condition early warning device. In this paper, we propose a prototype of a digital stethoscopic system for the diagnosis of cardiac abnormalities in real time using machine learning methods. This system consists of three subsystems that interact with each other (1)… More >

  • Open Access

    ARTICLE

    Arrhythmia and Disease Classification Based on Deep Learning Techniques

    Ramya G. Franklin1,*, B. Muthukumar2

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 835-851, 2022, DOI:10.32604/iasc.2022.019877 - 22 September 2021

    Abstract Electrocardiography (ECG) is a method for monitoring the human heart’s electrical activity. ECG signal is often used by clinical experts in the collected time arrangement for the evaluation of any rhythmic circumstances of a topic. The research was carried to make the assignment computerized by displaying the problem with encoder-decoder methods, by using misfortune appropriation to predict standard or anomalous information. The two Convolutional Neural Networks (CNNs) and the Long Short-Term Memory (LSTM) fully connected layer (FCL) have shown improved levels over deep learning networks (DLNs) across a wide range of applications such as speech… More >

  • Open Access

    ARTICLE

    Noninherited Factors in Fetal Congenital Heart Diseases Based on Bayesian Network: A Large Multicenter Study

    Yanping Ruan1,#, Xiangyu Liu2,#, Haogang Zhu3,*, Yijie Lu3, Xiaowei Liu1, Jiancheng Han1, Lin Sun1, Ye Zhang1, Xiaoyan Gu1, Ying Zhao1, Lei Li2, Suzhen Ran4, Jingli Chen5, Qiong Yu6, Yan Xu7, Hongmei Xia8, Yihua He1,*

    Congenital Heart Disease, Vol.16, No.6, pp. 529-549, 2021, DOI:10.32604/CHD.2021.015862 - 08 July 2021

    Abstract Background: Current studies have confirmed that fetal congenital heart diseases (CHDs) are caused by various factors. However, the quantitative risk of CHD is not clear given the combined effects of multiple factors. Objective: This cross-sectional study aimed to detect associated factors of fetal CHD using a Bayesian network in a large sample and quantitatively analyze relative risk ratios (RRs). Methods: Pregnant women who underwent fetal echocardiography (N = 16,086 including 3,312 with CHD fetuses) were analyzed. Twenty-six maternal and fetal factors were obtained. A Bayesian network is constructed based on all variables through structural learning and parameter… More >

  • Open Access

    ARTICLE

    Pheochromocytoma and paraganglioma in Fontan patients: Common more than expected

    Mi Kyoung Song1, Gi Beom Kim1, Eun Jung Bae1, Young Ah Lee1, Hyun-Young Kim2, Seung-Kee Min3, Jung Hee Kim4, Jae-Kyung Won5

    Congenital Heart Disease, Vol.13, No.4, pp. 608-616, 2018, DOI:10.1111/chd.12625

    Abstract Objective: Pheochromocytoma and paraganglioma (extra-adrenal pheochromocytoma) are rare neuroendocrine tumors that arise from the neuroendocrine cells. Chronic hypoxia is known as a possible cause, and a strong link between cyanotic congenital heart disease and these tumors has been reported. However, reports of phechromocytoma/paraganglioma in Fontan patients were scarce. We herein report seven cases of phechromocytoma/paraganglioma after Fontan operation at a single tertiary center.
    Methods: We retrospectively reviewed medical records and imaging studies who diagnosed as phechromocytoma/paraganglioma after Fontan operation in Seoul National University Children’s Hospital.
    Results: Seven patients were identified during follow-up after Fontan operation, and the prevalence… More >

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